Génétique Quantitative et Evolution-Le Moulon, Institut National de la Recherche Agronomique, Université Paris-Sud, Centre National de la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, F-91190 Gif-sur-Yvette, France.
Unité Expérimentale 0394 SMH Maïs, Institut National de la Recherche Agronomique, F-40390 Saint-Martin-de-Hinx, France.
Genetics. 2017 Nov;207(3):1167-1180. doi: 10.1534/genetics.117.300305. Epub 2017 Sep 28.
Several plant and animal species of agricultural importance are commercialized as hybrids to take advantage of the heterosis phenomenon. Understanding the genetic architecture of hybrid performances is therefore of key importance. We developed two multiparental maize ( L.) populations, each corresponding to an important heterotic group (dent or flint) and comprised of six connected biparental segregating populations of inbred lines (802 and 822 lines for each group, respectively) issued from four founder lines. Instead of using "testers" to evaluate their hybrid values, segregating lines were crossed according to an incomplete factorial design to produce 951 dent-flint hybrids, evaluated for four biomass production traits in eight environments. QTL detection was carried out for the general-combining-ability (GCA) and specific-combining-ability (SCA) components of hybrid value, considering allelic effects transmitted from each founder line. In total, 42 QTL were detected across traits. We detected mostly QTL affecting GCA, 31% (41% for dry matter yield) of which also had mild effects on SCA. The small impact of dominant effects is consistent with the known differentiation between the dent and flint heterotic groups and the small percentage of hybrid variance due to SCA observed in our design (∼20% for the different traits). Furthermore, most (80%) of GCA QTL were segregating in only one of the two heterotic groups. Relative to tester-based designs, use of hybrids between two multiparental populations appears highly cost efficient to detect QTL in two heterotic groups simultaneously. This presents new prospects for selecting superior hybrid combinations with markers.
几种具有农业重要性的植物和动物物种被商业化培育为杂种,以利用杂种优势现象。因此,了解杂种表现的遗传结构至关重要。我们开发了两个多亲本玉米( L.)群体,每个群体对应一个重要的杂种优势群(凹粒或硬质),由六个连接的自交系分离群体组成(每个群体分别有 802 和 822 条线),来自四个创始系。我们没有使用“测试者”来评估它们的杂种值,而是根据不完全析因设计交叉分离系,以产生 951 个凹粒-硬质杂种,在八个环境中评估四个生物量生产性状。针对杂种值的一般配合力(GCA)和特殊配合力(SCA)成分进行了 QTL 检测,考虑了从每个创始系传递的等位基因效应。总共检测到了 42 个与性状相关的 QTL。我们检测到的大多数 QTL 都影响 GCA,其中 31%(干物质产量为 41%)对 SCA 也有轻微影响。显性效应的小影响与凹粒和硬质杂种优势群的已知分化以及我们设计中观察到的 SCA 引起的杂种方差的小百分比(不同性状约为 20%)一致。此外,大多数(80%)GCA QTL 仅在两个杂种优势群中的一个中分离。与基于测试者的设计相比,使用两个多亲本群体之间的杂种同时检测两个杂种优势群中的 QTL 具有很高的成本效益。这为使用标记选择具有优势的杂种组合提供了新的前景。